Clean Charging of Electric Vehicles

• US 20140091747A1
• Filed: 09/28/2012
• Published: 04/03/2014
• Est. Priority Date: 09/28/2012
• Status: Active Grant

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company)
• Inventors: Uyeki, Robert Masahiko
• Granted Patent: US 9,024,571 B2
• Time in Patent Office: Days
• US Class Current: 320/101
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 2240/80 Time limits
• CPC Class Codes: B60L 2250/12 by confirmation, e.g. of the input
• CPC Class Codes: B60L 2250/14 by input of vehicle departure time
• CPC Class Codes: B60L 53/63 in response to network capacity
• CPC Class Codes: B60L 53/64 Optimising energy costs, e.g. responding to electricity rates
• CPC Class Codes: B60L 53/65 involving identification of vehicles or their battery types
• CPC Class Codes: B60L 53/68 Off-site monitoring or control, e.g. remote control
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 7/0013 acting upon several batteries simultaneously or sequentially H02J7/1423 takes precedence
• CPC Class Codes: H02J 7/34 Parallel operation in networks using both storage and other dc sources, e.g. providing buffering H02J7/14 takes precedence
• CPC Class Codes: H02J 7/35 with light sensitive cells
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 : Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 90/12 : Electric charging stations
• CPC Class Codes: Y02T 90/14 : Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y02T 90/167 : Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 10/126 : the energy generation units being or involving electric vehicles [EV] or hybrid vehicles [HEV], i.e. power aggregation of EV or HEV, vehicle to grid arrangements [V2G]
• CPC Class Codes: Y04S 20/221 : General power management systems
• CPC Class Codes: Y04S 30/12 : Remote or cooperative charging
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

The embodiments disclosed herein provide an option to drivers of electric vehicles to charge their electric vehicles using energy generated from renewable energy sources while still meeting charging requirements of the drivers. A system may schedule an electric vehicle for charging based on a historical clean energy profile.

Claims

1. A computer-implemented method of charging an electric vehicle, the method comprising:

receiving vehicle status information from an electric vehicle indicating a geographical location of the electric vehicle;

providing a plurality of options for charging the electric vehicle, the plurality of options including an option to maximize energy generated from renewable energy sources;

identifying a historical clean energy profile associated with the geographical location of the electric vehicle responsive to receiving a selection of the option to increase usage of energy generated from the renewable energy sources, the historical clean energy profile describing a plurality of types of renewable energy that have been historically available during various time periods indicated in the historical clean energy profile; and

instructing the electric vehicle to charge based on the historical clean energy profile.

2. The computer-implemented method of claim 1, wherein the vehicle status information further comprises a current date, a current time, and a state of charge of the electric vehicle.

3. The computer-implemented method of claim 1, further comprising:

receiving charging constraints associated with the electric vehicle, the charging constraints describing constraints of a driver of the electric vehicle and constraints of a charging station that will be used to charge the electric vehicle.

4. The computer-implemented method of claim 3, wherein the constraints of the driver of the electric vehicle comprise at least one of a required state of charge of the electric vehicle indicated by the driver and a time for completion of charging the electric vehicle to the required state of charge.

5. The computer-implemented method of claim 3, wherein the constraints of the charging station comprise an amount of voltage and current available at the charging station.

6. The computer-implemented method of claim 1, wherein providing the plurality of options for charging the electric vehicle comprises:

providing an option to immediately begin charging the electric vehicle;

providing an option to delay charging of the electric vehicle to a later time; and

providing an option to charge the electric vehicle during a time period that minimizes a cost for charging the electric vehicle.

7. The computer-implemented method of claim 1, wherein identifying the historical clean energy profile associated with the geographical location of the electric vehicle comprises:

identifying a utility company that provides power to the geographical location; and

obtaining the historical clean energy profile from the utility company.

8. The computer-implemented method of claim 1, further comprising:

calculating charge parameters based on the historical clean energy profile, a current state of charge of the electric vehicle, a required state of charge of the electric vehicle indicated by a driver of the electric vehicle, an amount of voltage and current available at a charging station, and a time when the electric vehicle must be charged to the required state of charge, the charge parameters comprising a start time for the electric vehicle to begin charging and an end time for the electric vehicle to stop charging that is at the latest approximately equivalent to the time when the electric vehicle must be charged to the required state of charge.

9. The computer-implemented method of claim 8, wherein instructing the electric vehicle to charge comprises:

instructing the electric vehicle to begin charging responsive to the start time; and

instructing the electric vehicle to stop charging responsive to the end time.

10. The computer-implemented method of claim 1, wherein the renewable energy sources comprises at least one of a hydroelectric power plant, a solar thermal electric plant, a wind turbine, or a solar photovoltaic plant.

11. A computer program product comprising a non-transitory computer-readable storage medium containing executable computer program code for charging an electric vehicle, the code when executed perform steps comprising:

receiving vehicle status information from an electric vehicle indicating a geographical location of the electric vehicle;

providing a plurality of options for charging the electric vehicle, the plurality of options including an option to maximize energy generated from renewable energy sources;

identifying a historical clean energy profile associated with the geographical location of the electric vehicle responsive to receiving a selection of the option to increase usage of energy generated from the renewable energy sources, the historical clean energy profile describing a plurality of types of renewable energy that have been historically available during various time periods indicated in the historical clean energy profile; and

instructing the electric vehicle to charge based on the historical clean energy profile.

12. The computer program product of claim 11, wherein the code when executed perform further steps comprising:

receiving charging constraints associated with the electric vehicle, the charging constraints describing constraints of a driver of the electric vehicle and constraints of a charging station that will be used to charge the electric vehicle.

13. The computer program product of claim 12, wherein the constraints of the driver of the electric vehicle comprise at least one of a required state of charge of the electric vehicle indicated by the driver and a time for completion of charging the electric vehicle to the required state of charge and wherein the constraints of the charging station comprise an amount of voltage and current available at the charging station.

14. The computer program product of claim 11, wherein identifying the historical clean energy profile associated with the geographical location of the electric vehicle comprises:

identifying a utility company that provides power to the geographical location; and

obtaining the historical clean energy profile from the utility company.

15. The computer program product of claim 11, wherein the code when executed perform further steps comprising:

calculating charge parameters based on the historical clean energy profile, a current state of charge of the electric vehicle, a required state of charge of the electric vehicle indicated by a driver of the electric vehicle, an amount of voltage and current available at a charging station, and a time when the electric vehicle must be charged to the required state of charge, the charge parameters comprising a start time for the electric vehicle to begin charging and an end time for the electric vehicle to stop charging that is at the latest approximately equivalent to the time when the electric vehicle must be charged to the required state of charge.

16. A computer system for charging an electric vehicle, the system comprising:

a computer processor;

a computer-readable storage medium comprising executable computer program code when executed by the computer processor perform steps comprising;

receiving vehicle status information from an electric vehicle indicating a geographical location of the electric vehicle;

providing a plurality of options for charging the electric vehicle, the plurality of options including an option to maximize energy generated from renewable energy sources;

identifying a historical clean energy profile associated with the geographical location of the electric vehicle responsive to receiving a selection of the option to increase usage of energy generated from the renewable energy sources, the historical clean energy profile describing a plurality of types of renewable energy that have been historically available during various time periods indicated in the historical clean energy profile; and

instructing the electric vehicle to charge based on the historical clean energy profile.

17. The computer system of claim 16, wherein the computer program code when executed by the computer processor perform further steps comprising:

receiving charging constraints associated with the electric vehicle, the charging constraints describing constraints of a driver of the electric vehicle and constraints of a charging station that will be used to charge the electric vehicle.

18. The computer system of claim 17, wherein the constraints of the driver of the electric vehicle comprise at least one of a required state of charge of the electric vehicle indicated by the driver and a time for completion of charging the electric vehicle to the required state of charge and wherein the constraints of the charging station comprise an amount of voltage and current available at the charging station.

19. The computer system of claim 16, wherein identifying the historical clean energy profile associated with the geographical location of the electric vehicle comprises:

identifying a utility company that provides power to the geographical location; and

obtaining the historical clean energy profile from the utility company.

20. The computer system of claim 16, wherein the computer program code when executed by the computer processor perform further steps comprising:

calculating charge parameters based on the historical clean energy profile, a current state of charge of the electric vehicle, a required state of charge of the electric vehicle indicated by a driver of the electric vehicle, an amount of voltage and current available at a charging station, and a time when the electric vehicle must be charged to the required state of charge, the charge parameters comprising a start time for the electric vehicle to begin charging and an end time for the electric vehicle to stop charging that is at the latest approximately equivalent to the time when the electric vehicle must be charged to the required state of charge.